Forward Deployed Engineer - Singapore

present of AI; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Roboflow Singapore is seeking a mid-level Customer & Solutions engineer to take a computer vision project from concept to production at a customer's site. You will write production Python, set up data pipelines, and configure edge hardware like cameras and compact GPUs to keep systems running smoothly.

A strong candidate has deployed technology in factories or warehouses, stays calm while debugging, and can talk comfortably with executives, engineers and machine operators.

Qualifications

• Experience deploying technology in factories or warehouses.
• Calm under debugging in field conditions.
• Strong communication with executives, engineers, and operators.

Responsibilities

• Take a sold concept and run production at a customer site.
• Write production Python code.
• Set up data pipelines for real-time or batch processing.
• Configure edge hardware (cameras, small GPUs) and troubleshoot field issues.

Skills

Python

Docker

Linux

Computer vision

Edge devices

Data pipelines

Tools

Jetson platform

Raspberry Pi

Job description

Customer & Solutions · Singapore · FullTime · Mid level

This role takes a computer vision project that has already been sold and tested as a concept, then gets it running for real inside a customer's site. That means writing production Python, setting up data pipelines, configuring edge hardware like cameras and small GPU devices, and fixing problems that only show up in the field. A strong candidate has deployed technology in factories, warehouses or similar places, stays calm while debugging, and can talk comfortably with executives, engineers and machine operators.

How it fits the AI era

AI models are easier to get than ever, so the hard part has moved to making them work reliably in messy real settings with poor lighting, weak connectivity and old equipment. Tools can speed up code and setup, but walking a production line, earning a customer's trust and spotting what they truly need still depends on a person on site. The feedback this role brings back also shapes how the product evolves.

How it builds AI experience

The work gives direct experience putting computer vision models into production on edge devices, including optimizing models, watching for drift and handling retraining. Roboflow's platform covers labeling, training and deployment, so each engagement shows the full cycle across different industries. To prepare, someone could build a small camera-based project on a Jetson or Raspberry Pi and deploy it with Docker.

Worth showing

• Production Python code
• Docker and Linux skills
• Computer vision in production

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Roboflow

A platform for building computer vision into software, covering labeling images, training models and deploying them, so developers do not have to assemble that pipeline themselves.